苍井空电影Course Name: Docker and Kubernetes – Course Outline

Docker and Kubernetes – Course

Duration

3 days

Objectives

At end of this workshop, participants will able to :

  • Get understanding of Docker fundamentals, architecture, features and usage
  • Get understanding of Kubernetes fundamentals, architecture, features and usage
  • Containerize web applications / services using Docker and deploy into Kubernetes platform.

Note: This course is designed for beginner to intermediate level.

Audience

苍井空电影Developers who are interested to learn how to containerize applications / services using Docker and manage the containers to handle scalability, fault tolerance, high availability using Kubernetes platform.

Pre-requisite

  • Knowledge on Virtualization
  • Knowledge on Distributed Computing
  • Familiarity on Application Packaging and Deployment

Hardware & Network Requirements

  • Desktop/Laptop with minimum 8GB RAM
  • Open Internet connection (minimum 1 Mbps per user)

Software Requirements

  • Windows / Linux / Mac OS
  • Oracle VirtualBox

*苍井空电影 Pre-configured image with all required softwares to be shared along with setup instructions before the training for labs .

Outline

Module-1: Introduction to Docker

  • Docker Overview
  • Docker Architecture
  • Virtual Machines vs Containers
  • Docker Setup and Configuration
  • Components
  • Docker Engine
  • Docker Registry
  • Docker Compose
  • Docker File
  • Images
  • Features Overview
  • Container Linking
  • Storage
  • Networking
  • Logging
  • Create Docker File for web application
  • Build Docker image and upload to registry

Module-2: Introduction to Kubernetes

  • Kubernetes Overview
  • Kubernetes Architecture
  • Kubernetes Setup and Configuration
  • Components
  • Master Components
  • Node Components
  • Client Components
  • 2Kubernetes Objects
  • Kubernetes Containers
  • Kubernetes Workloads
  • Pods
  • Deployments
  • Jobs
  • Replication
  • Services and Load Balancing
  • Networking
  • Storage Volumes
  • Security
  • Creating and deploying an application in Kubernetes with Docker
  • Configure Auto Scaling and High Availability
  • Managing and accessing Kubernetes cluster with API and Kubectl
  • Kubernetes Monitoring with Dashboard